Guest Editors
Prof. Hwa-Young Jeong, Kyung Hee University, South Korea
Prof. Neil Y. Yen, University of Aizu, Japan
Prof. Jason C. Hung, Taichung University of Science and Technology, Taiwan
Summary
'Edge Computing' is a computing model that utilizes network edge resources. 'Fog Computing' is a paradigm that uses both on-premises hardware and cloud services. The goal of edge computing is to transfer processing away from the data center to the network edge, where IoT devices, mobile phones, or network gateways can perform processing and deliver services on behalf of the cloud. The problem with fog computing is that it has expanded the scope of edge computing that requires data processing at the network edge and is a distributed paradigm that provides cloud-like services to the network edge. Sometimes Fog computing can be defined as a programming and communication model that physically or computationally brings cloud resources closer to IoT devices. For example, many IoT applications suffer from cloud computing problems such as latency, location recognition, and real-time mobility support. Fog computing is providing solutions to these problems, which becomes an important factor with many applications in sensitive industries. Fog/edge computing for the efficient operation of IoT is widely applied in fields such as healthcare, industry, education, health, logistics, and safety.
The main topics of this special issue are state-of-the-art technologies and research for practical use or application in the field of fog/edge computing with IoT. Real cases and technical studies in various fields are recruited with fog/edge computing technology, and research cases applied to fog/edge computing with artificial intelligence/deep learning are recruited.
Keywords
Advanced Edge computing and analytics using big data
Application and service of edge computing and security
Practical service of Edge-as-a-Service (EaaS), Fog as a Service (FaaS)
Distributed computation with 6G networks and edge computing
Fog and edge computing technique and service for smart city
High performance Storage as a service in Fog computing
Practical Infrastructure as a Service (IaaS) in Fog/Edge computing
Advanced Fog architecture using IoT sensing technique and service
Practical IoT application and service with fog/edge computing
Improved IoT-Fog-Cloud Architecture using Big-Data analytics
Optimization of IoT-Fog Network Path
The use of IoT based education application with fog/edge computing
Advanced life change using IoT with fog/edge computing
The development of deep learning models for cloud, edge, fog, and IoT computing
The design and development of Cloud, fog and edge computing platforms
The development and use of AI-based fog and edge computing
The use of smart healthcare with fog/edge computing
6G network application and service with devices in IoT with fog/edge computing
Processing and analysis of IoT based drone computation offloading with fog/edge computing
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